| dc.contributor.author | Pogostin, Arina | |
| dc.contributor.author | Calaras, Diana | |
| dc.date.accessioned | 2022-11-09T11:19:30Z | |
| dc.date.available | 2022-11-09T11:19:30Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | POGOSTIN, Arina, CALARAS, Diana. Imaging phenotypes in sarcoidosis: [poster]. In: Conferinţa ştiinţifică anuală "Cercetarea în biomedicină și sănătate: calitate, excelență și performanță", 19-21 octombrie 2022: culegere de postere electronice. 2022, p. 97. | en_US |
| dc.identifier.uri | https://conferinta.usmf.md/wp-content/uploads/culegere_de_postere_2022.pdf | |
| dc.identifier.uri | https://repository.usmf.md/handle/20.500.12710/22260 | |
| dc.description.abstract | Introduction. Sarcoidosis is a multisystem inflammatory granulomatous disease of unknown etiology characterized by an extremely broad spectrum of imaging patterns that are usually preserved throughout the course of the disease, which in fact gives it a particular imaging phenotype. Aim. Analysis of imaging phenotypes in pulmonary sarcoidosis. Material and methods. We analyzed 59 patients from Chiril Draganiuc Institute of Phtisiopneumology, who were evaluated for pulmonary sarcoidosis, during year 2021. Among the retrospectively collected data were: clinical history, functional respiratory tests and imaging data. HRCT imaging score was assigned to each patient. The presence of correlations between imaging scores and functional disorders were determined. The CT phenotypes showed a better correlation with all functional parameters, with moderate correlation scores associated with consolidation and fibrotic phenotype. Results. • mean age of 51±7.9 years • Typical HRCT pattern – 49% • Mean HRCT score – 8,6 ±4.9 • 6 main HRCT phenotypes: - micronodules – 19 - consolidation - 9 - ground glass - 5 - fibrotic phenotype - 4 - interlobular reticulation - 16 - PPFE-like pattern - 6 Conclusions. Typical patterns are found in about ½ patients. There is a direct correlation between imaging phenotypes and functional disorders, with better scores for the CT phenotype model. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universitatea de Stat de Medicină şi Farmacie "Nicolae Testemiţanu" din Republica Moldova | en_US |
| dc.relation.ispartof | Conferinţa ştiinţifică anuală "Cercetarea în biomedicină și sănătate: calitate, excelență și performanță", 2022 | en_US |
| dc.title | Imaging phenotypes in sarcoidosis | en_US |
| dc.type | Other | en_US |